TreeWAS – [E23] Hypofunction and other disorders of pituitary gland

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

E23

Hypofunction and other disorders of pituitary gland

Parent term	E20-E35 Disorders of other endocrine glands
Nested terms	E23.0 Hypopituitarism E23.1 Drug-induced hypopituitarism E23.2 Diabetes insipidus E23.3 Hypothalamic dysfunction, not elsewhere classified E23.6 Other disorders of pituitary gland E23.7 Disorder of pituitary gland, unspecified

What are diagnostic terms?

Variant effects

Click on a variant to see its association results.

Download this figure in format

Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.913	0.087	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.859	0.141	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.780	0.220	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.757	0.243	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.752	0.248	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.745	0.255	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.742	0.258	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.739	0.261	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.728	0.272	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.727	0.273	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.720	0.280	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.720	0.280	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.706	0.294	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.699	0.301	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.692	0.308	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.691	0.309	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.688	0.312	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.686	0.314	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.679	0.321	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.668	0.332	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.663	0.337	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.663	0.337	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.663	0.337	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.662	0.338	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.658	0.342	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.648	0.352	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.646	0.354	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.645	0.355	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.644	0.356	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.643	0.357	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.641	0.359	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.639	0.361	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.635	0.365	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.630	0.370	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.626	0.374	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.624	0.376	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.623	0.376	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.622	0.377	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.621	0.378	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.616	0.384	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.613	0.387	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.610	0.390	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.605	0.395	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.602	0.398	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.601	0.399	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.599	0.401	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.598	0.402	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.597	0.403	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.593	0.407	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.591	0.409	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.591	0.409	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.589	0.411	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.587	0.413	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.586	0.414	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.581	0.419	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.581	0.419	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.580	0.420	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.567	0.433	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.565	0.435	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.563	0.437	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.562	0.437	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.559	0.441	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.555	0.445	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.553	0.447	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.553	0.447	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.553	0.447	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.552	0.448	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.548	0.452	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.547	0.453	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.542	0.458	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.542	0.458	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.542	0.458	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.541	0.459	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.541	0.459	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.540	0.460	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.537	0.463	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.537	0.463	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.535	0.464	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.534	0.466	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.532	0.468	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.529	0.471	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.528	0.472	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.525	0.475	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.515	0.485	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.513	0.487	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.512	0.488	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.512	0.488	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.511	0.489	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.511	0.489	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.509	0.490	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.506	0.494	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.506	0.494	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.505	0.495	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.504	0.496	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.498	0.502	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.496	0.504	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.494	0.505	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.494	0.506	0.000
rs12716641 lBF = `0.251127` Chr`8` : `6,898,998`	0.490	0.510	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.488	0.512	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.481	0.518	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.480	0.519	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.480	0.520	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.474	0.526	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.473	0.527	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.472	0.528	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.456	0.544	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.456	0.544	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.452	0.547	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.445	0.555	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.444	0.556	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.441	0.559	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.438	0.562	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.436	0.564	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.432	0.568	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.431	0.569	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.430	0.569	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.429	0.571	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.427	0.572	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.426	0.573	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.422	0.578	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.418	0.582	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.417	0.583	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.416	0.584	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.415	0.585	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.404	0.595	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.403	0.597	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.402	0.597	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.400	0.600	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.393	0.607	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.393	0.607	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.391	0.609	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.391	0.609	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.386	0.614	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.385	0.615	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.378	0.622	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.373	0.627	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.373	0.627	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.361	0.639	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.359	0.640	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.358	0.641	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.645	0.355
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.354	0.646	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.351	0.649	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.350	0.649	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.349	0.650	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.342	0.657	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.335	0.665	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.329	0.671	0.000
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.326	0.674	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.322	0.677	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.319	0.680	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.307	0.693	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.306	0.694	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.303	0.697	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.302	0.698	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.300	0.700	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.300	0.700	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.299	0.701	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.289	0.711	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.288	0.711	0.001
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.283	0.717	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.276	0.724	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.270	0.730	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.268	0.731	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.265	0.735	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.262	0.738	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.262	0.738	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.261	0.739	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.257	0.743	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.251	0.749	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.227	0.773	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.226	0.774	0.000
rs2466035 lBF = `0.0722241` Chr`8` : `128,211,229`	0.214	0.786	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.207	0.792	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.207	0.792	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.197	0.803	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.197	0.803	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.191	0.809	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.185	0.815	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.183	0.817	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.181	0.819	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.173	0.827	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.172	0.828	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.828	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.168	0.832	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.165	0.835	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.163	0.837	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.154	0.846	0.000
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.151	0.849	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.141	0.859	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.138	0.861	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.135	0.865	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.129	0.871	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.123	0.877	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.117	0.882	0.001
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.111	0.889	0.000
rs1160133 lBF = `0.301225` Chr`8` : `59,305,290`	0.110	0.890	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.105	0.895	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.099	0.901	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.093	0.907	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.086	0.914	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.080	0.920	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.080	0.920	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.080	0.920	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.079	0.921	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.073	0.927	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.073	0.927	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.073	0.927	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.068	0.932	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.068	0.932	0.000
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.067	0.933	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.064	0.936	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.936	0.064
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.064	0.936	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.060	0.939	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.059	0.941	0.000
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.056	0.944	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.051	0.948	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.049	0.951	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.049	0.951	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.048	0.952	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.048	0.952	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.046	0.954	0.000
rs6472155 lBF = `0.176679` Chr`8` : `65,730,207`	0.045	0.955	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.045	0.955	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.041	0.959	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.039	0.961	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.038	0.962	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.037	0.963	0.000
rs10111661 lBF = `0.994666` Chr`8` : `20,336,573`	0.036	0.964	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.032	0.968	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.029	0.971	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.028	0.971	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.024	0.976	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.022	0.978	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.020	0.980	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.020	0.980	0.000
rs7014382 lBF = `6.1756` Chr`8` : `69,991,586`	0.019	0.981	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.019	0.981	0.000
rs4841398 lBF = `0.00282566` Chr`8` : `10,462,806`	0.000	0.983	0.017
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.016	0.983	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.016	0.983	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.016	0.984	0.000
rs13328379 lBF = `-0.0113726` Chr`8` : `20,634,750`	0.016	0.984	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.015	0.985	0.000
rs11136341 lBF = `0.0141972` Chr`8` : `145,043,543`	0.014	0.986	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.014	0.986	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.013	0.986	0.000
rs1364705 lBF = `0.0243758` Chr`8` : `120,224,806`	0.012	0.988	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.012	0.988	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.012	0.988	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.012	0.988	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.011	0.989	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.010	0.989	0.000
rs10103155 lBF = `23.4513` Chr`8` : `25,727,902`	0.010	0.990	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.000	0.990	0.010
rs2954026 lBF = `24.8282` Chr`8` : `126,484,526`	0.009	0.991	0.000
rs6577655 lBF = `-0.0824192` Chr`8` : `135,593,725`	0.000	0.991	0.009
rs7005380 lBF = `0.0580762` Chr`8` : `120,953,873`	0.009	0.991	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.991	0.009
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.000	0.991	0.009
rs17581368 lBF = `-0.0956044` Chr`8` : `21,662,445`	0.000	0.991	0.009
rs2954020 lBF = `28.9243` Chr`8` : `126,481,952`	0.008	0.992	0.000
rs12548021 lBF = `-0.0827183` Chr`8` : `29,344,462`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.007	0.993	0.000
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.000	0.993	0.007
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	0.993	0.007
rs10503779 lBF = `14.6968` Chr`8` : `25,743,428`	0.007	0.993	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.000	0.993	0.007
rs2003880 lBF = `-0.0164642` Chr`8` : `6,788,102`	0.000	0.994	0.006
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.000	0.994	0.006
rs10112481 lBF = `-0.0145767` Chr`8` : `4,875,172`	0.000	0.994	0.006
rs4006531 lBF = `-0.061086` Chr`8` : `126,867,505`	0.000	0.994	0.006
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.005	0.995	0.000
rs10956252 lBF = `-0.0720595` Chr`8` : `126,536,137`	0.000	0.995	0.005
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.000	0.995	0.005
rs921720 lBF = `-0.07194` Chr`8` : `126,534,671`	0.000	0.995	0.005
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.003	0.995	0.001
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.004	0.995	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.004	0.996	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.001	0.996	0.003
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.004	0.996	0.000
rs328 lBF = `4.32431` Chr`8` : `19,819,724`	0.004	0.996	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.004	0.996	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.004	0.996	0.000
rs13271465 lBF = `-0.00893756` Chr`8` : `17,282,411`	0.000	0.996	0.004
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.004	0.996	0.000
rs325 lBF = `5.51521` Chr`8` : `19,819,328`	0.004	0.996	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.004	0.996	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.004	0.996	0.000
rs7813489 lBF = `9.06018` Chr`8` : `25,749,405`	0.004	0.996	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.003	0.997	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.000	0.997	0.003
rs2980879 lBF = `27.5408` Chr`8` : `126,481,475`	0.000	0.997	0.003
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs978152 lBF = `-0.0405618` Chr`8` : `133,369,094`	0.003	0.997	0.000
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.003	0.997	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	0.997	0.003
rs12547604 lBF = `0.0948587` Chr`8` : `4,860,491`	0.000	0.997	0.003
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	0.997	0.003
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.003	0.997	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.000	0.997	0.003
rs7817714 lBF = `-0.077801` Chr`8` : `103,048,810`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.003	0.997	0.000
rs10086908 lBF = `3.53715` Chr`8` : `128,011,937`	0.003	0.997	0.000
rs10104997 lBF = `0.28902` Chr`8` : `55,440,068`	0.003	0.997	0.000
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.003	0.997	0.000
rs9298506 lBF = `0.291683` Chr`8` : `55,437,524`	0.003	0.997	0.000
rs10091374 lBF = `-0.0497464` Chr`8` : `71,386,904`	0.003	0.997	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.003	0.997	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.003	0.997	0.000
rs2950160 lBF = `-0.0768393` Chr`8` : `4,420,188`	0.000	0.997	0.003
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.003	0.997	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.002	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs4527850 lBF = `-0.0922114` Chr`8` : `134,196,849`	0.003	0.997	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.002	0.997	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.002	0.998	0.000
rs4733789 lBF = `-0.019309` Chr`8` : `128,834,403`	0.000	0.998	0.002
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.002	0.998	0.000
rs12680842 lBF = `0.0437133` Chr`8` : `95,582,606`	0.002	0.998	0.000
rs2738113 lBF = `-0.0948756` Chr`8` : `6,829,085`	0.002	0.998	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.002	0.998	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.002	0.998	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.002	0.998	0.000
rs4243849 lBF = `-0.0656984` Chr`8` : `136,713,137`	0.000	0.998	0.002
rs310272 lBF = `-0.0279691` Chr`8` : `23,643,489`	0.000	0.998	0.002
rs28834970 lBF = `-0.0720231` Chr`8` : `27,195,121`	0.000	0.998	0.002
rs876983 lBF = `-0.140682` Chr`8` : `18,407,858`	0.000	0.998	0.002
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.002	0.998	0.000
rs12679556 lBF = `0.196355` Chr`8` : `72,514,228`	0.001	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs1566080 lBF = `-0.0134141` Chr`8` : `142,556,805`	0.002	0.998	0.000
rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	0.002	0.998	0.000
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.002	0.998	0.000
rs10504229 lBF = `-0.0580822` Chr`8` : `58,196,495`	0.000	0.998	0.002
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.001	0.998	0.001
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs11249878 lBF = `-0.0198982` Chr`8` : `8,550,255`	0.002	0.998	0.000
rs11774212 lBF = `-0.0467484` Chr`8` : `145,686,505`	0.002	0.998	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.001	0.998	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.002	0.998	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.002	0.998	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.998	0.002
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.002	0.998	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.002	0.998	0.000
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.002	0.998	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.002	0.998	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.002	0.998	0.000
rs7819937 lBF = `0.532275` Chr`8` : `3,118,779`	0.000	0.998	0.002
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.000	0.998	0.002
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	0.998	0.002
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.998	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.998	0.000
rs9297216 lBF = `-0.0266697` Chr`8` : `34,045,261`	0.002	0.998	0.000
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.001	0.998	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.001	0.998	0.000
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.000	0.999	0.001
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.001	0.999	0.001
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.001	0.999	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.001	0.999	0.000
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	0.999	0.001
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.001	0.999	0.000
rs1996720 lBF = `0.205595` Chr`8` : `113,074,096`	0.001	0.999	0.000
rs1013209 lBF = `-0.0833888` Chr`8` : `24,116,304`	0.000	0.999	0.001
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.001	0.999	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.001	0.999	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.000	0.999	0.001
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.000	0.999	0.001
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.001	0.999	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.001	0.999	0.000
rs2945733 lBF = `0.110693` Chr`8` : `134,615,750`	0.000	0.999	0.001
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.001	0.999	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.001	0.999	0.000
rs2688325 lBF = `-0.0870791` Chr`8` : `3,767,210`	0.000	0.999	0.001
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.000	0.999	0.001
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.001	0.999	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.001	0.999	0.000
rs4281086 lBF = `-0.0825628` Chr`8` : `10,352,308`	0.001	0.999	0.000
rs3864663 lBF = `-0.0649529` Chr`8` : `78,680,349`	0.001	0.999	0.000
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.001	0.999	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.001	0.999	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	0.000	0.999	0.001
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.001	0.999	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs1587409 lBF = `-0.0532446` Chr`8` : `118,263,732`	0.001	0.999	0.000
rs17428041 lBF = `-0.0669529` Chr`8` : `21,711,431`	0.000	0.999	0.001
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.001	0.999	0.000
rs4922265 lBF = `0.00141826` Chr`8` : `16,996,435`	0.001	0.999	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.000	0.999	0.001
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.000	0.999	0.001
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.001	0.999	0.000
rs3019286 lBF = `0.0717552` Chr`8` : `99,895,405`	0.000	0.999	0.001
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs9918807 lBF = `-0.0613929` Chr`8` : `130,676,639`	0.001	0.999	0.000
rs2444896 lBF = `0.266119` Chr`8` : `99,022,009`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	0.999	0.001
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.001	0.999	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.000	0.999	0.001
rs6991347 lBF = `8.62128` Chr`8` : `25,756,681`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	0.000	0.999	0.001
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
rs11986011 lBF = `0` Chr`8` : `127,332,657`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs147851892 lBF = `0` Chr`8` : `24,234,355`	0.001	0.999	0.001
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
rs188858915 lBF = `0` Chr`8` : `6,494,833`	0.001	0.999	0.001
rs188809019 lBF = `0` Chr`8` : `129,286,235`	0.001	0.999	0.001
rs144222594 lBF = `0` Chr`8` : `12,931,504`	0.001	0.999	0.001
rs76547188 lBF = `0` Chr`8` : `21,978,372`	0.001	0.999	0.001
rs191935895 lBF = `0` Chr`8` : `5,267,311`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
rs111754512 lBF = `0` Chr`8` : `24,400,648`	0.001	0.999	0.001
rs7460090 lBF = `0` Chr`8` : `57,194,163`	0.001	0.999	0.001
rs113660214 lBF = `0` Chr`8` : `977,436`	0.001	0.999	0.001
rs201734206 lBF = `0` Chr`8` : `73,984,100`	0.001	0.999	0.001
rs192994403 lBF = `0` Chr`8` : `76,211,333`	0.001	0.999	0.001
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs183529902 lBF = `-0.00000969` Chr`8` : `35,880,032`	0.001	0.999	0.000
rs7004587 lBF = `-0.00002087` Chr`8` : `108,040,352`	0.000	0.999	0.001
rs138094162 lBF = `-0.00002448` Chr`8` : `6,489,568`	0.001	0.999	0.000
rs10107366 lBF = `-0.00003159` Chr`8` : `99,113,687`	0.001	0.999	0.000
rs1349547 lBF = `-0.0562944` Chr`8` : `39,548,378`	0.001	0.999	0.000
rs151198427 lBF = `-0.00005693` Chr`8` : `68,351,787`	0.001	0.999	0.000
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.001	0.999	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.001	0.999	0.000
rs13252298 lBF = `2.21438` Chr`8` : `128,095,156`	0.000	0.999	0.001
rs2392780 lBF = `2.24613` Chr`8` : `128,388,025`	0.001	0.999	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.001	0.999	0.000
rs2979481 lBF = `-0.0576421` Chr`8` : `30,262,786`	0.001	0.999	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.001	0.999	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.001	0.999	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.001	0.999	0.000
rs6983473 lBF = `0.367125` Chr`8` : `27,905,888`	0.000	0.999	0.001
rs10503256 lBF = `-0.0780116` Chr`8` : `4,214,179`	0.001	0.999	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.001	0.999	0.000
rs2741200 lBF = `0.163349` Chr`8` : `134,071,833`	0.001	0.999	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	0.999	0.001
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.001	0.999	0.000
rs16902460 lBF = `-0.00013523` Chr`8` : `128,920,197`	0.000	0.999	0.000
rs12546471 lBF = `0.253507` Chr`8` : `4,181,065`	0.001	0.999	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.001	0.999	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.001	0.999	0.000
rs2218488 lBF = `-0.0211408` Chr`8` : `72,263,956`	0.000	0.999	0.001
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.001	0.999	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.001	0.999	0.000
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.001	0.999	0.000
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.001	0.999	0.000
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.001	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.001	0.999	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.001	0.999	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.001	0.999	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.000	0.999	0.001

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.9521

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4526

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2350

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9996

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9996

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9993

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9987

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9979

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9968

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9960

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9960

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9945

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9931

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9925

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9923

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9888

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9881

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9862

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9857

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9851

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9846

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9827

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9816

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9809

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9798

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9782

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9737

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9714

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9712

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9709

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9706

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9673

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9657

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9633

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9631

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9626

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9617

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9612

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9568

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9557

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9513

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9505

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9500

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9497

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9470

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9421

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9378

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9338

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9335

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9326

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9324

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9301

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9294

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9290

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9284

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9220

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9218

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9218

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9187

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9180

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9167

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9127

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9070

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9068

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9062

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9062

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9060

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9049

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9043

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8995

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8993

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8949

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8938

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8926

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8905

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8883

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8877

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8874

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8865

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8842

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8838

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8808

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8781

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8705

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8704

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8694

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8653

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8641

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8570

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8565

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8551

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8444

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8428

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8395

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8355

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8330

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8312

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8287

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8269

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8259

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8220

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8199

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8174

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8156

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8121

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8097

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8096

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8093

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8063

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8041

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8039

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8013

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8004

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7966

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7928

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7851

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7848

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7837

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7832

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7784

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7772

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7721

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7649

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7622

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7548

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7527

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7521

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7473

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7446

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7432

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7410

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7405

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7399

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7383

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7373

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7368

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.7358

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7352

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7345

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7318

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7317

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7304

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7214

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7204

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7202

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7186

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7181

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7180

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7166

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7163

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7162

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7145

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7125

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7120

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7110

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7059

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6979

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6924

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6892

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6889

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6885

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6833

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6704

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6704

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6649

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6637

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6604

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6542

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6481

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6410

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6386

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6359

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6349

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6327

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6192

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6174

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6118

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6101

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6100

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6028

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5990

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5983

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5937

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5880

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5760

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5698

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5422

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5311

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4844

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4810

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4748

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4686

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4670

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4584

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4580

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4455

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4436

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4337

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4327

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4297

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4296

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3901

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3883

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3704

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.2761

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2398

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1982

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1978

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1899

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.1720

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.1602

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1286

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1158

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1152

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1051

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1002

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0959

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0910

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)